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ORCIDTsachy Weissman
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- affiliation: Stanford University, USA
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2020 – today
- 2024
[j110]Francisco Pernice
, Berivan Isik, Tsachy Weissman:
Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel. IEEE Trans. Inf. Theory 70(7): 4599-4610 (2024)- [c144]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Adaptive Compression in Federated Learning via Side Information. AISTATS 2024: 487-495 - [c143]Lara Arikan, Tsachy Weissman:
Semantic Image Compression Using Textual Transforms. ISIT (Workshops) 2024: 1-6 - [i101]Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal:
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR abs/2406.16797 (2024) - 2023
- [j109]Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra:
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text. IEEE J. Sel. Areas Commun. 41(1): 107-118 (2023) - [j108]Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi:
Neural Network Compression for Noisy Storage Devices. ACM Trans. Embed. Comput. Syst. 22(3): 58:1-58:29 (2023) - [c142]Arjun Barrett, Laura Gomezjurado, Shuvam Mukherjee, Arz Bshara, Sahasrajit Sarmasarkar, Pulkit Tandon, Tsachy Weissman:
Txt2Vid-Web: Web-based, Text-to-Video, Video Conferencing Pipeline. DCC 2023: 331 - [c141]Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi:
Sparse Random Networks for Communication-Efficient Federated Learning. ICLR 2023 - [c140]Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No:
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS 2023 - [i100]Tsachy Weissman:
Toward Textual Transform Coding. CoRR abs/2305.01857 (2023) - [i99]Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No:
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR abs/2306.04924 (2023) - [i98]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Communication-Efficient Federated Learning through Importance Sampling. CoRR abs/2306.12625 (2023) - 2022
- [j107]Meir Feder, Tsachy Weissman:
Editorial Modern Compression. IEEE J. Sel. Areas Inf. Theory 3(4): 604 (2022) - [j106]Berivan Isik, Tsachy Weissman:
Lossy Compression of Noisy Data for Private and Data-Efficient Learning. IEEE J. Sel. Areas Inf. Theory 3(4): 815-823 (2022) - [j105]Dmitri S. Pavlichin, Hojoon Lee, Stephanie U. Greer, Susan M. Grimes, Tsachy Weissman, Hanlee P. Ji:
KmerKeys: a web resource for searching indexed genome assemblies and variants. Nucleic Acids Res. 50(W1): 448-453 (2022) - [c139]Berivan Isik, Tsachy Weissman, Albert No:
An Information-Theoretic Justification for Model Pruning. AISTATS 2022: 3821-3846 - [c138]Valdemar Danry, Joanne Leong, Pat Pataranutaporn, Pulkit Tandon, Yimeng Liu, Roy Shilkrot, Parinya Punpongsanon, Tsachy Weissman, Pattie Maes, Misha Sra:
AI-Generated Characters: Putting Deepfakes to Good Use. CHI Extended Abstracts 2022: 119:1-119:5 - [c137]Berivan Isik, Tsachy Weissman:
Learning under Storage and Privacy Constraints. ISIT 2022: 1844-1849 - [c136]Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman:
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS 2022 - [c135]Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson:
An Interactive Annotation Tool for Perceptual Video Compression. QoMEX 2022: 1-6 - [i97]Berivan Isik, Tsachy Weissman:
Learning under Storage and Privacy Constraints. CoRR abs/2202.02892 (2022) - [i96]Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi:
Sparse Random Networks for Communication-Efficient Federated Learning. CoRR abs/2209.15328 (2022) - [i95]Berivan Isik, Francisco Pernice, Tsachy Weissman:
Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel. CoRR abs/2210.07437 (2022) - [i94]Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman:
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR abs/2211.06358 (2022) - 2021
- [j104]Shubham Chandak, Kedar Tatwawadi, Srivatsan Sridhar, Tsachy Weissman:
Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy. Bioinform. 36(22-23): 5313-5321 (2021) - [j103]Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman:
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. IEEE Trans. Inf. Theory 67(12): 7723-7739 (2021) - [j102]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. IEEE Trans. Inf. Theory 67(12): 8248-8263 (2021) - [c134]Roshan Prabhakar, Shubham Chandak, Carina Chiu, Renee Liang, Huong Nguyen, Kedar Tatwawadi, Tsachy Weissman:
Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry. DCC 2021: 360 - [c133]Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman:
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. ISIT 2021: 1931-1936 - [c132]Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman:
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD 2021: 3928-3936 - [i93]Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi:
Neural Network Compression for Noisy Storage Devices. CoRR abs/2102.07725 (2021) - [i92]Berivan Isik, Albert No, Tsachy Weissman:
Successive Pruning for Model Compression via Rate Distortion Theory. CoRR abs/2102.08329 (2021) - [i91]Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra:
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text. CoRR abs/2106.14014 (2021) - 2020
- [j101]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory 1(3): 814-823 (2020) - [c131]Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio Ojea, Tsachy Weissman:
LFZip: Lossy Compression of Multivariate Floating-Point Time Series Data via Improved Prediction. DCC 2020: 342-351 - [c130]Shubham Chandak, Joachim Neu, Kedar Tatwawadi, Jay Mardia, Billy Lau, Matthew Kubit, Reyna Hulett, Peter Griffin, Mary Wootters, Tsachy Weissman, Hanlee Ji:
Overcoming High Nanopore Basecaller Error Rates for DNA Storage via Basecaller-Decoder Integration and Convolutional Codes. ICASSP 2020: 8822-8826 - [i90]Yanjun Han, Zhengyuan Zhou, Tsachy Weissman:
Optimal No-regret Learning in Repeated First-price Auctions. CoRR abs/2003.09795 (2020) - [i89]Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman:
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR abs/2007.04568 (2020)
2010 – 2019
- 2019
- [j100]Shubham Chandak, Kedar Tatwawadi, Idoia Ochoa, Mikel Hernaez, Tsachy Weissman:
SPRING: a next-generation compressor for FASTQ data. Bioinform. 35(15): 2674-2676 (2019) - [j99]Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman:
Approximate Profile Maximum Likelihood. J. Mach. Learn. Res. 20: 122:1-122:55 (2019) - [j98]Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman:
Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Trans. Inf. Theory 65(10): 6704-6715 (2019) - [c129]Shubham Chandak, Hanlee Ji, Kedar Tatwawadi, Billy Lau, Jay Mardia, Matthew Kubit, Joachim Neu, Peter Griffin, Mary Wootters, Tsachy Weissman:
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes. Allerton 2019: 147-156 - [c128]Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman:
Humans are Still the Best Lossy Image Compressors. DCC 2019: 558 - [c127]Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon:
Neural Joint Source-Channel Coding. ICML 2019: 1182-1192 - [i88]Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman:
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. CoRR abs/1904.03271 (2019) - [i87]Dmitri S. Pavlichin, Yihui Quek, Tsachy Weissman:
Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain. CoRR abs/1907.01582 (2019) - [i86]Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio Ojea, Tsachy Weissman:
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction. CoRR abs/1911.00208 (2019) - 2018
- [j97]Greg Malysa, Mikel Hernaez, Idoia Ochoa, Milind Rao, Karthik Ganesan, Tsachy Weissman:
QVZ: lossy compression of quality values. Bioinform. 34(1): 179 (2018) - [j96]Shubham Chandak, Kedar Tatwawadi, Tsachy Weissman:
Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis. Bioinform. 34(4): 558-567 (2018) - [j95]Jiantao Jiao, Kartik Venkat, Tsachy Weissman:
Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels. IEEE Trans. Inf. Theory 64(10): 6662-6671 (2018) - [j94]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax Estimation of the L1 Distance. IEEE Trans. Inf. Theory 64(10): 6672-6706 (2018) - [c126]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. COLT 2018: 3163-3188 - [c125]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT 2018: 3189-3221 - [c124]Kedar Tatwawadi, Jiantao Jiao, Tsachy Weissman:
Minimax Redundancy for Markov Chains with Large State Space. ISIT 2018: 216-220 - [c123]Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman:
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT 2018: 506-510 - [c122]Kedar Tatwawadi, Shirin Saeedi Bidokhti, Tsachy Weissman:
On Universal Compression with Constant Random Access. ISIT 2018: 891-895 - [c121]Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu:
Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS 2018: 9803-9814 - [i85]Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu:
Entropy Rate Estimation for Markov Chains with Large State Space. CoRR abs/1802.07889 (2018) - [i84]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR abs/1802.08405 (2018) - [i83]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. CoRR abs/1802.08417 (2018) - [i82]Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman:
Minimax redundancy for Markov chains with large state space. CoRR abs/1805.01355 (2018) - [i81]Jay Mardia, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman:
Concentration Inequalities for the Empirical Distribution. CoRR abs/1809.06522 (2018) - [i80]Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman:
Humans are still the best lossy image compressors. CoRR abs/1810.11137 (2018) - [i79]Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon:
NECST: Neural Joint Source-Channel Coding. CoRR abs/1811.07557 (2018) - 2017
- [j93]Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley:
Effect of lossy compression of quality scores on variant calling. Briefings Bioinform. 18(2): 183-194 (2017) - [j92]Thomas A. Courtade, Ananth Grama, Michael W. Mahoney, Tsachy Weissman:
Principles and Applications of Science of Information. Proc. IEEE 105(2): 183-188 (2017) - [j91]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? IEEE Trans. Inf. Theory 63(2): 960-974 (2017) - [j90]Jiantao Jiao, Kartik Venkat, Tsachy Weissman:
Relations Between Information and Estimation in Discrete-Time Lévy Channels. IEEE Trans. Inf. Theory 63(6): 3579-3594 (2017) - [j89]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 63(10): 6774-6798 (2017) - [c120]Reggy Long, Mikel Hernaez, Idoia Ochoa, Tsachy Weissman:
GeneComp, a New Reference-Based Compressor for SAM Files. DCC 2017: 330-339 - [c119]Dmitri S. Pavlichin, Amir Ingber, Tsachy Weissman:
Compressing Tabular Data via Pairwise Dependencies. DCC 2017: 455 - [c118]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Dependence measures bounding the exploration bias for general measurements. ISIT 2017: 1475-1479 - [i78]Jiantao Jiao, Kartik Venkat, Tsachy Weissman:
Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels. CoRR abs/1704.05199 (2017) - [i77]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax Estimation of the $L_1$ Distance. CoRR abs/1705.00807 (2017) - [i76]Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman:
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR abs/1707.01203 (2017) - [i75]Albert No, Tsachy Weissman:
Universality of Logarithmic Loss in Lossy Compression. CoRR abs/1709.00134 (2017) - [i74]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR abs/1709.06183 (2017) - [i73]Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman:
On Estimation of L{r}-Norms in Gaussian White Noise Models. CoRR abs/1710.03863 (2017) - [i72]Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu:
Optimal rates of entropy estimation over Lipschitz balls. CoRR abs/1711.02141 (2017) - [i71]Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman:
Approximate Profile Maximum Likelihood. CoRR abs/1712.07177 (2017) - 2016
- [j88]Zhiying Wang, Tsachy Weissman, Olgica Milenkovic:
smallWig: parallel compression of RNA-seq WIG files. Bioinform. 32(2): 173-180 (2016) - [j87]Sebastian Deorowicz, Szymon Grabowski, Idoia Ochoa, Mikel Hernaez, Tsachy Weissman:
Comment on: 'ERGC: an efficient referential genome compression algorithm'. Bioinform. 32(7): 1115-1117 (2016) - [j86]Kedar Tatwawadi, Mikel Hernaez, Idoia Ochoa, Tsachy Weissman:
GTRAC: fast retrieval from compressed collections of genomic variants. Bioinform. 32(17): 479-486 (2016) - [j85]Alon Kipnis, Andrea J. Goldsmith, Yonina C. Eldar, Tsachy Weissman:
Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources. IEEE Trans. Inf. Theory 62(1): 401-429 (2016) - [j84]Fabian Steiner, Steffen Dempfle, Amir Ingber, Tsachy Weissman:
Compression for Quadratic Similarity Queries: Finite Blocklength and Practical Schemes. IEEE Trans. Inf. Theory 62(5): 2737-2747 (2016) - [j83]Albert No, Amir Ingber, Tsachy Weissman:
Strong Successive Refinability and Rate-Distortion-Complexity Tradeoff. IEEE Trans. Inf. Theory 62(6): 3618-3635 (2016) - [j82]Kittipong Kittichokechai, Yeow-Khiang Chia, Tobias J. Oechtering, Mikael Skoglund, Tsachy Weissman:
Secure Source Coding With a Public Helper. IEEE Trans. Inf. Theory 62(7): 3930-3949 (2016) - [j81]Albert No, Tsachy Weissman:
Rateless Lossy Compression via the Extremes. IEEE Trans. Inf. Theory 62(10): 5484-5495 (2016) - [j80]Kartik Venkat, Tsachy Weissman, Yair Carmon, Shlomo Shamai:
Information, Estimation, and Lookahead in the Gaussian Channel. IEEE Trans. Signal Process. 64(14): 3605-3618 (2016) - [c117]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC 2016: 321-325 - [c116]Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley:
Denoising of Quality Scores for Boosted Inference and Reduced Storage. DCC 2016: 251-260 - [c115]Mikel Hernaez, Idoia Ochoa, Tsachy Weissman:
A Cluster-Based Approach to Compression of Quality Scores. DCC 2016: 261-270 - [c114]Dmitri S. Pavlichin, Tsachy Weissman:
Chained Kullback-Leibler divergences. ISIT 2016: 580-584 - [c113]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax estimation of the L1 distance. ISIT 2016: 750-754 - [c112]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is noisy state information at the encoder as useless as no information or as good as noise-free state? ISIT 2016: 890-894 - [c111]Jiantao Jiao, Kartik Venkat, Tsachy Weissman:
Mutual information, relative entropy and estimation error in semi-martingale channels. ISIT 2016: 2794-2798 - [c110]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA 2016: 256-260 - [c109]Idoia Ochoa, Albert No, Mikel Hernaez, Tsachy Weissman:
CROMqs: an infinitesimal successive refinement lossy compressor for the quality scores. ITW 2016: 121-125 - [i70]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of KL Divergence between Discrete Distributions. CoRR abs/1605.09124 (2016) - [i69]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? CoRR abs/1611.00270 (2016) - [i68]Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Demystifying ResNet. CoRR abs/1611.01186 (2016) - [i67]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR abs/1612.05845 (2016) - 2015
- [j79]Idoia Ochoa, Mikel Hernaez, Tsachy Weissman:
iDoComp: a compression scheme for assembled genomes. Bioinform. 31(5): 626-633 (2015) - [j78]Greg Malysa, Mikel Hernaez, Idoia Ochoa, Milind Rao, Karthik Ganesan, Tsachy Weissman:
QVZ: lossy compression of quality values. Bioinform. 31(19): 3122-3129 (2015) - [j77]Yair Carmon, Shlomo Shamai, Tsachy Weissman:
Comparison of the Achievable Rates in OFDM and Single Carrier Modulation with I.I.D. Inputs. IEEE Trans. Inf. Theory 61(4): 1795-1818 (2015) - [j76]Amir Ingber, Thomas A. Courtade, Tsachy Weissman:
Compression for Quadratic Similarity Queries. IEEE Trans. Inf. Theory 61(5): 2729-2747 (2015) - [j75]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Minimax Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 61(5): 2835-2885 (2015) - [j74]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network Compression: Worst Case Analysis. IEEE Trans. Inf. Theory 61(7): 3980-3995 (2015) - [j73]Jiantao Jiao, Thomas A. Courtade, Kartik Venkat, Tsachy Weissman:
Justification of Logarithmic Loss via the Benefit of Side Information. IEEE Trans. Inf. Theory 61(10): 5357-5365 (2015) - [j72]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Discrete Distributions Under ℓ1 Loss. IEEE Trans. Inf. Theory 61(11): 6343-6354 (2015) - [c108]Amir Ingber, Tsachy Weissman:
Compression for Similarity Identification: Computing the Error Exponent. DCC 2015: 413-422 - [c107]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Maximum Likelihood Estimation of information measures. ISIT 2015: 839-843 - [c106]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Does dirichlet prior smoothing solve the Shannon entropy estimation problem? ISIT 2015: 1367-1371 - [c105]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Adaptive estimation of Shannon entropy. ISIT 2015: 1372-1376 - [c104]Albert No, Tsachy Weissman:
Universality of logarithmic loss in lossy compression. ISIT 2015: 2166-2170 - [c103]